Evidence map›Paper›PMID 40587845›Full record

ArticleJournal of medical Internet research2025

Determinants of Digital Health Literacy: International Cross-Sectional Study.

Connor S Qiu, Tetiana Lunova, Geva Greenfield, Gabriele Kerr, Ömrüm Ergüven, Thomas Beaney, Benedict Hayhoe, Erik Mayer, Azeem Majeed, Ana Luisa Neves

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Connor S Qiu *Department of Primary Care and Public Health, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-7314-1504
Tetiana Lunova *Institute of Global Health Innovation, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-0346-2326
Geva GreenfieldDepartment of Primary Care and Public Health, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-9779-2486
Gabriele KerrDepartment of Primary Care and Public Health, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-3170-3211
Ömrüm ErgüvenDepartment of Primary Care and Public Health, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-1191-0830
Thomas BeaneyDepartment of Primary Care and Public Health, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-9709-7264
Benedict HayhoeDepartment of Primary Care and Public Health, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-2645-6191
Erik MayerInstitute of Global Health Innovation, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-5509-4580
Azeem MajeedDepartment of Primary Care and Public Health, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-2357-9858
Ana Luisa NevesDepartment of Primary Care and Public Health, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-7107-7211

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital health literacy describes an individual's ability to use digital information and tools to improve their own health. Understanding how digital health literacy varies across populations could help improve health equity. However, the determinants of digital health literacy have been scarcely evaluated.

objectiveThis study aims to assess the levels of digital health literacy in 4 countries (United Kingdom, Sweden, Italy, and Germany) and explore potential associations between digital health literacy and demographic characteristics and self-perceived health status.

methodsA cross-sectional online survey was disseminated to participants from the United Kingdom, Italy, Germany, and Sweden in December 2020. Digital health literacy was self-reported using the validated eHealth Literacy Scale (eHEALS; range: 0-40); low digital health literacy has been previously defined as an eHEALS score<26. Participant characteristics collected were sex, age group, ethnicity, country, and perceived overall health status. A multivariable linear regression analysis was performed to explore associations between these variables and digital health literacy.

resultsA total of 6331 participants were included (51.7% female, n=3272). The mean eHEALS score was 29.2 (SD 6.8). Participant age, sex, health status, and country of residence were included in the final multivariable model. Compared to the 45- to 54-year age group, the 55 years and older age group had lower digital health literacy (β=-1.0; 95% CI -1.4 to -0.5; P<.001), while digital health literacy was higher in those aged 25-34 years (β=0.9; 95% CI 0.3-1.5; P=.002) and 35-44 years (β=0.6; 95% CI 0.1-1.2; P=.03). Better health status was associated with greater digital health literacy (β=0.3; 95% CI 0.2-0.4; P<.001). Compared to participants from Germany, those from the United Kingdom (β=2.1; 95% CI 1.7-2.5; P<.001) and Sweden (β=2.9; 95% CI 2.4-3.4; P<.001) had higher digital health literacy scores, while there was no difference with Italian participants (P=.399). Sex and ethnicity did not have any significant effect on digital health literacy.

conclusionsThis study found significant variations in digital health literacy by age, health status, and country of residence. Targeted educational programs for vulnerable groups, particularly those of older age and poorer health status, are essential. Policies fostering accessible digital health solutions and mitigating health technology-related uncertainties for these populations are crucial for achieving optimal health outcomes.

Indexed as

Health LiteracyTelemedicineAdultAgedCross-Sectional StudiesFemaleGermanyHealth StatusHumansInternationalityItalyMaleMiddle AgedSurveys and QuestionnairesSwedenUnited Kingdomcross-sectionalcross-sectional studiesdeterminants of digital health literacydigital determinants of healthdigital healthdigital health literacydigital literacyeHealtheHealth Literacy Scalehealth equityhealth literacylinear regression analysismultivariable linear regression analysisonline survey

Identifiers

PMID40587845
PMCPMC12260470

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.